SinoGreenTech Academic Portal
📚 Peer-Reviewed Translated Literature

All Clean Energy & Battery Intelligence (Page 42)

Browse complete peer-reviewed translations from top indexed Chinese clean energy & battery intelligence journals. Read verified previews and download authentic research reports verified by SinoGreenTech.

Published Research Papers

Showing 24 of 1398 peer-reviewed translated articles (Page 42 of 59)

Selective Hydrogenation Performance of Pd Catalysts Supported on Alumina MicrospheresGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

Selective Hydrogenation Performance of Pd Catalysts Supported on Alumina Microspheres

Alumina microspheres with a lamellar-assembled flower-like morphology were synthesized via a urea-assisted hydrothermal method and used as supports to prepare Pd/Al2O3-M catalysts by incipient wetness impregnation. The catalytic performance was evaluated in the selective hydrogenation of isoprene and the hydrogenation of 2-ethylanthraquinone for hydrogen peroxide production, and compared with a commercial alumina-supported Pd catalyst (Pd/Al2O3). Characterization revealed that the flower-like structure, composed of stacked nanosheets, promoted high Pd dispersion and enhanced metal-support interaction, leading to a higher surface Pd content and more abundant active sites. Under 60 °C and 1 MPa H2, Pd/Al2O3-M achieved 95.2% conversion of isoprene with 98.3% total selectivity to isoamylenes, and exhibited good stability over 24 h. In anthraquinone hydrogenation, it reached a hydrogenation efficiency of 15.8 g/L, a 27.4% improvement over Pd/Al2O3 (12.4 g/L). The study demonstrates that modulating carrier morphology is an effective strategy to simultaneously enhance activity, selectivity, and stability of Pd catalysts, offering a promising approach for designing efficient hydrogenation catalysts.

Read Full Abstract10.3724/2097-213X.2025.JFCT.0037
Research Progress on Catalytic Pyrolysis of Biomass for Aldehyde and Ketone ProductionGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

Research Progress on Catalytic Pyrolysis of Biomass for Aldehyde and Ketone Production

Aldehydes and ketones are valuable oxygen-containing organic intermediates essential for synthesizing fine chemicals, fuels, and materials. Lignocellulosic biomass, as the most abundant renewable carbon resource with an annual production exceeding 180 billion tons, offers a sustainable route to produce platform carbonyl compounds such as furfural, 5-hydroxymethylfurfural (HMF), and low-molecular-weight aliphatic ketones via pyrolysis. This review systematically summarizes recent progress in catalytic pyrolysis of biomass for aldehyde and ketone production. It first outlines the structural features, types, and biomass-derived origins of typical carbonyl platform molecules. Second, it compares the decomposition pathways and intermediate evolution behaviors of cellulose-rich, hemicellulose-rich, and lignin-rich biomasses under non-catalytic pyrolysis, clarifying the influence of multicomponent synergistic effects on aldehyde and ketone formation. Particular emphasis is placed on the mechanistic roles and dominant reaction pathways of metal salts, metal oxides, and carbon-based catalytic systems in regulating key steps such as dehydration, decarbonylation, C−O/C−C bond cleavage, and skeletal rearrangement. The review identifies major challenges, including unclear catalyst structure-activity relationships, inadequate active site stability, and limited product selectivity. Future perspectives propose rational design of multilevel structured catalysts, integration of in situ characterization with multiscale simulation, and development of green scale-up and process integration strategies. This work aims to provide a systematic theoretical reference for high-value biomass utilization and renewable carbon conversion.

Read Full Abstract10.1016/S1872-5813(26)60650-0
Influence Mechanism of Acidic Mineral Components on the Reaction Behavior of Ion-Exchangeable Calcium during Coal PyrolysisGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

Influence Mechanism of Acidic Mineral Components on the Reaction Behavior of Ion-Exchangeable Calcium during Coal Pyrolysis

Inherent minerals significantly influence the thermal conversion of coal, yet the interaction mechanisms among minerals affecting tar generation during pyrolysis remain unclear. This study investigates the effect of acidic mineral components on the behavior of ion-exchangeable Ca2+ during coal pyrolysis. Coal samples were prepared via HCl and HCl-HF acid washing followed by Ca2+ ion exchange. Pyrolysis was conducted in a fixed-bed reactor. Acid washing effectively reduced ash content but also decreased organic element contents (carbon, hydrogen). Loading ion-exchangeable calcium enhanced the thermal weight loss rate in the 500–550 °C range, shifting the peak temperature from 530 °C to 514 °C. At a final pyrolysis temperature of 600 °C with slow heating, kaolinite in acidic minerals underwent dehydroxylation to form metakaolin. The content of small aromatic rings (<6 rings) in char from Ca-loaded coal was lower than that from acid-washed coal without Ca. Coexistence of acidic minerals with ion-exchangeable Ca increased aliphatic hydrocarbon content in tar: YL-HCl-Ca reached 21.98% versus 13.60% for YL-De-Ca. Acidic mineral components inhibit the adverse effect of ion-exchangeable Ca2+ on tar lightening. These findings provide insights into mineral interactions during pyrolysis, aiding in optimizing coal conversion processes for improved tar quality.

Read Full Abstract10.1016/S1872-5813(26)60642-1
Effect of Mixing Modes on Integrated Process of Co-pyrolysis of Coal and Biomass with CO2 Reforming of Methane to Improve Tar YieldGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

Effect of Mixing Modes on Integrated Process of Co-pyrolysis of Coal and Biomass with CO2 Reforming of Methane to Improve Tar Yield

The influence of mixing modes on the integrated process of co-pyrolysis of Naomaohu coal (NMH) and elm (ELM) with CO2 reforming of methane (CP-CRM) was investigated over Ni-based catalysts prepared by ball milling. Three mixing modes—NMH/ELM, ELM/NMH, and Blends—were examined and compared with co-pyrolysis under N2 (CP-N2). Results show that product distribution was significantly affected by mixing mode. The Blends mode achieved the highest tar yield, increasing by 35.29% compared with CP-N2. Light oil content in tar was higher, while pitch content was lower for Blends relative to layered modes. Phenols content in tar from Blends was 19.52% higher than CP-N2, and free radical concentration in tar was higher, attributed to enhanced heat and mass transfer between particles by mechanical mixing, promoting complete pyrolysis and efficient utilization of hydrogen-rich free radicals (·H, ·CHx) to suppress secondary cracking and polymerization. In contrast, NMH/ELM mode in CP-CRM improved phenols content by 33.27% over CP-N2. Free radical concentration in tar during CP-CRM was lower than in CP-N2, indicating timely stabilization of pyrolysis radicals by reforming-generated radicals. These findings provide guidance for regulating tar yield and composition in co-pyrolysis processes.

Read Full Abstract10.1016/S1872-5813(26)60648-2
A Computational Dataset for C1 Molecular Catalytic Conversion over Iron-Based CatalystsGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

A Computational Dataset for C1 Molecular Catalytic Conversion over Iron-Based Catalysts

The catalytic conversion of C1 molecules (e.g., CO, CO2) is pivotal for sustainable C1 chemistry and low-carbon transformation. A profound understanding of microscopic reaction mechanisms requires systematic theoretical and experimental data. This study constructs a computational dataset for C1 molecular catalytic conversion over iron-based catalysts, focusing on Fe5C2 and systematically integrating multidimensional information on adsorption, dissociation, and formation reactions across crystal surfaces (001, 111, 510). The dataset comprises 690 directories and 1961 files, including 96 configurations for Fe5C2(001), 93 for Fe5C2(111), and 472 for Fe5C2(510). It covers adsorbed states (e.g., COH, H2), dissociated states (e.g., CO under 2H conditions), and formation states (e.g., CH/CH3 under 2H and H2O conditions). A standardized hierarchical storage system categorizes reaction types, crystal surfaces, and structural parameters. This dataset serves as a benchmark for validating quantum chemical methods and provides critical data support for catalyst design and reaction pathway optimization by uncovering coupling effects of crystal surfaces and reaction mechanisms. The data are publicly available via DOI: 10.57760/sciencedb.34259.

Read Full Abstract10.1016/S1872-5813(26)60683-4
Source Apportionment and Health Risk Assessment of Heavy Metals in PM2.5 during Winter in Xi'an under Different Pollution Levels Based on the PMF ModelGraphical AbstractVerified
Environmental Chemistry2026

Source Apportionment and Health Risk Assessment of Heavy Metals in PM2.5 during Winter in Xi'an under Different Pollution Levels Based on the PMF Model

To investigate the sources and health risks of heavy metals in PM2.5 during winter in Xi'an, hourly concentrations of eight heavy metals (Cu, Pb, Ni, Cr, etc.) were measured using an Amms-100 online analyzer at the Xi'an International Horticultural Exposition site from November 2024 to March 2025. The positive matrix factorization (PMF) model was applied for source apportionment, and the U.S. EPA health risk assessment model was used to evaluate carcinogenic and non-carcinogenic risks for different populations. Results showed that PM2.5 concentrations varied significantly across pollution levels, with an average of 173.5 μg·m−3 during heavy pollution, 4.1, 1.9, and 1.3 times higher than during non-pollution, light, and moderate pollution periods, respectively. Concentrations of Pb, Mn, and Cu increased with pollution level, indicating a combined effect of coal combustion and unfavorable dispersion. PMF identified five sources during non-pollution periods (industrial metallurgy, crustal dust, metal processing, etc.) but only four during polluted periods, with Cu contribution increasing significantly, suggesting a shift to traffic-related mechanical wear. Health risk assessment indicated that carcinogenic risks were highest in adult males, followed by adult females and children. Non-carcinogenic risks (HQ) for Zn and Cu were below 1, but Pb and Mn posed non-carcinogenic risks, with Mn being significant. The incremental lifetime cancer risks (ILCR) for As and Cr exceeded 10−4, identifying them as primary carcinogenic metals. This study provides scientific evidence for targeted air pollution control in Xi'an, emphasizing the need to strengthen controls on coal combustion, traffic, and industrial emissions during heating periods.

Read Full Abstract10.7524/j.issn.0254-6108.2026021202
Research Progress on Adsorption of Radioactive Iodine from Water by Covalent Organic FrameworksGraphical AbstractVerified
Environmental Chemistry2026

Research Progress on Adsorption of Radioactive Iodine from Water by Covalent Organic Frameworks

The rapid expansion of the nuclear power industry has increased the demand for effective nuclear wastewater treatment, making the efficient removal of radioactive iodine isotopes (e.g., 131I, 129I) from aqueous environments a critical challenge. Covalent organic frameworks (COFs), a class of crystalline porous materials characterized by high specific surface area, tunable pore structures, and exceptional stability, exhibit significant potential for capturing radioactive iodine from water. This review systematically examines the adsorption mechanisms of iodine by COF materials, including electrostatic interactions, charge transfer, hydrogen bonding, and secondary mechanisms such as metal coordination, ion exchange, and van der Waals forces. The effects of COF pore structures on iodine removal efficacy are discussed with a focus on pore size and functional group modifications. Key research trends and prevailing challenges in the application of COFs for aqueous iodine capture are analyzed, including the need for selective adsorption in complex wastewater matrices and the scalability of COF synthesis. The review concludes with a perspective on future research directions, emphasizing the design of novel COFs with tailored pore chemistry and the development of cost-effective, regenerable adsorbents for practical deployment in nuclear wastewater treatment.

Read Full Abstract10.7524/j.issn.0254-6108.2025031901
Model-Averaging Species Sensitivity Distribution for Phthalate Esters and Ecological Risk Assessment in Typical Freshwater Basins of ChinaGraphical AbstractVerified
Environmental Chemistry2026

Model-Averaging Species Sensitivity Distribution for Phthalate Esters and Ecological Risk Assessment in Typical Freshwater Basins of China

The construction of species sensitivity distribution (SSD) models using a single function requires optimization to reduce subjectivity. To minimize model selection uncertainty and align with Chinese freshwater organism effect criteria, this study integrated native freshwater species toxicity data, including experimental and predicted values from interspecies correlation estimation (ICE) and acute-chronic ratio (ACR) methods, and applied a model-averaging approach to construct SSD models for seven representative phthalate esters (PAEs): dimethyl phthalate (DMP), diethyl phthalate (DEP), dibutyl phthalate (DnBP), butyl benzyl phthalate (BBP), bis(2-ethylhexyl) phthalate (DEHP), diisodecyl phthalate (DIDP), and dihexyl phthalate (DnHP). The derived short-term predicted no-effect concentrations (PNECacute) for DMP, DEP, DnBP, BBP, DEHP, DIDP, and DnHP were 16.796, 4.984, 9.064×10⁻², 2.490×10⁻¹, 1.898×10⁻², 1.386×10⁻¹, and 7.428×10⁻² μg·L⁻¹, respectively. Long-term PNECs (PNECchronic) were 3.245×10², 36.500, 1.149, 4.018, 8.949×10⁻², 1.637, and 4.073×10⁻¹ μg·L⁻¹, respectively. These PNECs, based on native species toxicity data and more stringent than existing standards, are recommended as potential references for water quality criteria based on Chinese freshwater organism effects. Ecological risk assessment using the hazard quotient (HQ) method on exposure concentrations from typical Chinese freshwater basins revealed that DEHP and DnBP posed high short-term risks, BBP mainly medium risk, while DMP, DEP, and DnHP showed low or no risk. Long-term risks indicated DEHP at medium to high risk, DnBP mainly medium to low, BBP low or no risk, and DMP, DEP, and DnHP no risk. The overall ecological risk ranking was DEHP > DnBP > BBP > DEP > DMP ≈ DnHP.

Read Full Abstract10.7524/j.issn.0254-6108.2026021002
Advances in Research on the Effects of Exposure to Metals and Bisphenol Pollutants on Blood Pressure in Children and AdolescentsGraphical AbstractVerified
Environmental Chemistry2026

Advances in Research on the Effects of Exposure to Metals and Bisphenol Pollutants on Blood Pressure in Children and Adolescents

Childhood hypertension is a growing global concern, with approximately 4% of Chinese children exhibiting sustained elevated blood pressure meeting hypertension criteria, and single-time-point screening detecting rates of 14%–20% (up to 19% in obese children). Environmental exposure to metals (lead, cadmium, arsenic, mercury, copper, chromium) and bisphenol analogues (bisphenol A, S, F) has been implicated as a modifiable risk factor. This review synthesizes epidemiological evidence linking such exposures to blood pressure alterations in children and adolescents, highlighting dose-response relationships and potential mechanisms, including oxidative stress, endothelial dysfunction, and epigenetic programming. Key findings from cited studies indicate that low-dose bisphenol A exposure alters human cardiomyocyte functionality, and synergistic effects with insulin resistance elevate childhood blood pressure. Metal exposures, particularly lead and cadmium, are associated with increased blood pressure and cardiovascular structural changes. The review underscores the critical window of developmental exposure and the 'tracking phenomenon' linking childhood blood pressure to adult hypertension. Limitations include cross-sectional designs and confounding by mixed exposures. Future research should employ longitudinal cohorts and multi-pollutant models to refine risk assessment. Preventive strategies should integrate school health programs to reduce environmental exposure and monitor cardiovascular health.

Read Full Abstract10.7524/j.issn.0254-6108.2026012501
Research Progress on Exposure Assessment of Liquid Crystal MonomersGraphical AbstractVerified
Environmental Chemistry2026

Research Progress on Exposure Assessment of Liquid Crystal Monomers

Liquid crystal monomers (LCMs) are a novel class of organic compounds primarily used in the manufacturing of electronic devices such as liquid crystal displays (LCDs). LCMs can enter the environment and organisms through various pathways, and due to their persistence, bioaccumulation potential, and toxicity, they pose significant threats to ecosystems and human health, emerging as a concerning category of organic pollutants. Current research focuses on developing standardized, high-throughput, and highly sensitive analytical methods based on chromatography-mass spectrometry for quantifying LCMs across multiple environmental media. By integrating exposomics and long-term dynamic monitoring, exposure mapping is used to identify characteristic LCMs in different regions. Through screening LCM-exposed biomarkers and integrating human metabolic kinetic models, the assessment methodology is transitioning from environmental concentration-based external exposure estimation to biologically effect-based internal exposure risk evaluation. This research provides a scientific foundation for improving exposure monitoring systems and control measures for LCMs.

Read Full Abstract10.7524/j.issn.0254-6108.2026031202
A Dataset of Nickel and Cobalt Based Phosphides for Electrocatalytic Oxygen Evolution Reaction in Alkaline SolutionGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

A Dataset of Nickel and Cobalt Based Phosphides for Electrocatalytic Oxygen Evolution Reaction in Alkaline Solution

Hydrogen as an energy carrier offers a promising route to mitigate environmental issues from fossil fuel use. Efficient and inexpensive electrocatalysts for the oxygen evolution reaction (OER) in alkaline media are critical for advancing alkaline water electrolyzers. Transition metal phosphides (TMPs) are promising (pre-)catalysts for OER. This dataset compiles and compares the electrocatalytic OER activity of nickel- and cobalt-based phosphides. The phosphides were synthesized via solvothermal phosphidization or electrodeposition, and their OER activities were evaluated using linear sweep voltammetry in 1 mol/L KOH. Cyclic voltammetry and electrochemical impedance spectroscopy were also performed. The dataset comprises 312 files totaling 14.5 MB. It provides key electrocatalytic parameters and enables analysis of the influence of metal doping, solvothermal conditions (solvent and precursors), and crystallinity on OER activity. This dataset serves as a benchmark for evaluating Ni and Co phosphide materials for alkaline OER and provides a foundation for designing more active TMP-based electrocatalysts through comparative analysis. The materials may also be applied to other reactions such as hydrogen evolution, alcohol oxidation, and CO2 reduction, relevant to fuel cells, electrolyzers, and metal-air batteries, as well as in lithium/sodium-ion batteries and anticorrosion coatings.

Read Full Abstract10.1016/S1872-5813(26)60675-5
Catalytic Hydrogenation Removal of Typical Halophenol Odorous Substances by Palladium Catalysts Confined in UiO-66Graphical AbstractVerified
Environmental Chemistry2026

Catalytic Hydrogenation Removal of Typical Halophenol Odorous Substances by Palladium Catalysts Confined in UiO-66

Halophenols are highly toxic disinfection byproducts and common taste-and-odor pollutants in drinking water. In this study, a palladium catalyst confined within the pores of UiO-66 (Pd@UiO-66) was prepared via a double-solvent method and applied for the catalytic hydrodechlorination of 4-chlorophenol (4-CP). A surface-supported catalyst (Pd/UiO-66) was synthesized by deposition-precipitation as a benchmark. Comprehensive characterization using ICP-OES, XRD, TEM, EDX mapping, XPS, and in situ CO-IR revealed that Pd@UiO-66 exhibited smaller Pd particle sizes, higher Pd dispersion, and a greater proportion of cationic Pd species (Pdn+) compared to Pd/UiO-66. These features enhanced the activation and cleavage of the C–Cl bond. Catalytic tests demonstrated that Pd@UiO-66 achieved >90% removal of 4-CP within 15 minutes, with phenol as the sole degradation product, showing significantly lower predicted toxicity (ECOSAR) than the parent compound. The kinetics followed the Langmuir-Hinshelwood model. Pd@UiO-66 exhibited 2.1 times higher initial activity and 1.2 times higher turnover frequency than Pd/UiO-66. Moreover, the pore confinement effect imparted high stability, with no significant loss in initial activity (within 10%) after five reaction cycles. These results highlight the potential of confined Pd catalysts for efficient removal of halophenolic odorants from water.

Read Full Abstract10.7524/j.issn.0254-6108.2025040202
Macrophage-Mediated Pulmonary Inflammatory Response and Underlying Mechanisms Induced by Lithium Cobalt Oxide NanoparticlesGraphical AbstractVerified
Environmental Chemistry2026

Macrophage-Mediated Pulmonary Inflammatory Response and Underlying Mechanisms Induced by Lithium Cobalt Oxide Nanoparticles

Lithium cobalt oxide (LCO) nanoparticles (NPs), generated during the lifecycle of LCO batteries via mechanical wear, pose respiratory health risks. This study systematically assessed LCO NPs' physicochemical properties, ion release, and immunotoxicity using multi-scale models. LCO NPs exhibited irregular morphology, layered crystal structure, good dispersion, and negative surface charge. Cobalt ion release was minimal: 1.03% in deionized water and 0.11% in cell culture medium. In vitro, LCO NPs significantly induced reactive oxygen species (ROS) production and secretion of pro-inflammatory cytokines (IL-6, IL-1β, TNF-α) in macrophages, promoting M1 polarization. In vivo, intranasal exposure caused dose-dependent pulmonary accumulation, alveolar destruction, inflammatory cell infiltration, and elevated cytokines in bronchoalveolar lavage fluid (BALF). Transcriptomic analysis revealed significant enrichment of NF-κB, JAK-STAT, and Toll-like receptor signaling pathways, implicating these in macrophage activation and inflammation amplification. This multi-level study elucidates LCO NPs' immunotoxicity mechanisms, providing a scientific basis for environmental health risk assessment and management of lithium-ion battery materials.

Read Full Abstract10.7524/j.issn.0254-6108.2026021301
Research Progress on the Olfactory Toxicity of Aquatic Pollutants to FishGraphical AbstractVerified
Environmental Chemistry2026

Research Progress on the Olfactory Toxicity of Aquatic Pollutants to Fish

Olfaction is crucial for fish survival in complex aquatic environments, enabling detection and discrimination of odor signals that regulate foraging, predator avoidance, social interaction, courtship, and migration. The fish olfactory system, directly exposed to water, is highly susceptible to aquatic pollutants such as heavy metals and pesticides. This review summarizes the composition and structure of the fish olfactory system, the process of olfactory response, and current research on olfactory toxicity of major aquatic pollutants. Key findings indicate that pollutants like copper and cadmium disrupt olfactory epithelium integrity, alter olfactory sensory neuron (OSN) populations, and impair odor-driven behaviors. For instance, copper exposure in larval zebrafish causes differential death and regeneration of OSN populations, leading to neurobehavioral deficits. Cadmium exposure in juvenile coho salmon differentially alters odorant-driven behaviors and olfactory receptor expression. The review highlights the need for further research on mechanisms, mixture effects, and development of biomarkers for early warning. Understanding olfactory toxicity is vital for ecological risk assessment and for developing fish-based biosensors for water quality monitoring.

Read Full Abstract10.7524/j.issn.0254-6108.2025033102
Occurrence, Bioaccumulation, and Elimination of Trifluoropropylmethylsiloxanes in Sediments and Mollusks of Bohai BayGraphical AbstractVerified
Environmental Chemistry2026

Occurrence, Bioaccumulation, and Elimination of Trifluoropropylmethylsiloxanes in Sediments and Mollusks of Bohai Bay

Trifluoropropylmethylsiloxanes (D3F and D4F) are emerging contaminants whose environmental behavior remains poorly understood. This study investigated their occurrence, bioaccumulation, and elimination in sediments and mollusks collected from 60 sites across 12 coastal cities along Bohai Bay, China. Concentrations in sediments ranged from <LOD to 17.1 ng/g dry weight (dw) with a detection frequency of 30% and a mean of 5.6 ng/g dw. In mollusks, concentrations ranged from <LOD to 20.2 ng/g wet weight (ww) with a detection frequency of 21.7% and a mean of 4.1 ng/g ww. Compared with cyclic dimethylsiloxanes (D4, D5, D6), trifluoropropylmethylsiloxanes exhibited 1–2 orders of magnitude lower concentrations and 1.4–2.2 times lower biota-sediment accumulation factors (BSAF: 0.67 for D3F, 0.61 for D4F). However, from 2017 to 2023, trifluoropropylmethylsiloxanes showed higher annual accumulation rates in sediments (21.5%) and mollusks (32.8%) than dimethylsiloxanes (10.2% and 6.7%, respectively). This discrepancy is attributed to their higher usage growth, stronger sorption (lg KOC: 6.77 for D3F, 8.81 for D4F vs. 4.22–5.99 for D4–D6), and slower elimination in mollusks (half-lives: 11.1 d for D3F, 20.1 d for trans-D4Fa vs. 5.4–8.6 d for D4–D6). The primary degradation product, methyl(3,3,3-trifluoropropyl)silanediol, was detected in sediments (mean 15.7 ng/g dw, detection frequency 33.3%) and mollusks (mean 31.2 ng/g ww, detection frequency 33.3%). Its accumulation rate in mollusks was 1.4 times faster than in sediments, suggesting its potential as an exposure indicator. These findings highlight distinct environmental behaviors of trifluoropropylmethylsiloxanes, necessitating further monitoring and risk assessment.

Read Full Abstract10.7524/j.issn.0254-6108.2025031302
Research Progress in Catalysts for Direct Carbonylation of Glycerol with CO2 to Glycerol CarbonateGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

Research Progress in Catalysts for Direct Carbonylation of Glycerol with CO2 to Glycerol Carbonate

The direct carbonylation of glycerol with CO2 to glycerol carbonate represents a promising route for CO2 utilization, addressing both carbon emission reduction and the synthesis of value-added chemicals. However, the reaction is thermodynamically limited, resulting in low glycerol conversion, necessitating the use of coupling agents and appropriate catalysts. This review systematically examines recent progress in homogeneous catalysts (inorganic and organic bases) and heterogeneous catalysts (Zn, Cu, Ce, La, Mg, noble metals, modified zeolites, non-metallic materials) for this transformation. Strategies such as metal oxide modification, support optimization, precursor selection, and construction of acidic-basic sites are analyzed for enhancing catalytic performance. The effects of coupling agents including acetonitrile, adiponitrile, 2-cyanopyridine, MgCO3, CaC2, and NaHCO3 are summarized. Notably, 1,8-diazabicyclo[5.4.0]undec-7-ene (DBU), Zn(QTf)2, and metal composite oxides like ZnO-CeO2 have demonstrated promising catalytic performance. Future research directions include developing organometallic complexes or composite metal oxides with highly dispersed active sites and tailored morphologies to modulate surface area, pore size, and acidity/basicity; optimizing coupling agents or designing novel membrane reactors to improve glycerol conversion; and introducing polar solvents to enhance reactant adsorption and activation. These approaches provide valuable references for catalyst design and reaction system optimization in the carbonylation of glycerol with CO2.

Read Full Abstract10.1016/S1872-5813(26)60695-0
Research Progress on Bisphenol S-Induced Metabolic Disorder-Related DiseasesGraphical AbstractVerified
Environmental Chemistry2026

Research Progress on Bisphenol S-Induced Metabolic Disorder-Related Diseases

Bisphenol S (BPS), a substitute for bisphenol A (BPA), is widely used in food packaging, plastics, and dental fillings. BPS enters and accumulates in the human body via respiratory, digestive, and dermal routes, posing increasing health risks. Epidemiological and animal studies link BPS exposure to metabolic disorders. This review systematically summarizes BPS pollution status and its mechanisms in obesity, non-alcoholic fatty liver disease, diabetes, cardiovascular diseases, and immune system disorders. BPS detection rates reach 78.5% in food samples (up to 67.1 μg·kg−1) and 81.67% in fish (up to 65.31 μg·kg−1). In indoor dust, BPS levels reach 26.6 μg·g−1, with adult daily exposure estimated at 0.78 ng·kg−1 in China. Mechanistically, BPS disrupts lipid and glucose metabolism, induces oxidative stress and inflammation, and alters nuclear receptor signaling. The review highlights the need for molecular target identification and metabolic network interaction studies to develop intervention strategies.

Read Full Abstract10.7524/j.issn.0254-6108.2025040708
Assessment and Source Analysis of Soil Heavy Metal Pollution under Different Land Use Types in the Yixun River BasinGraphical AbstractVerified
Environmental Chemistry2026

Assessment and Source Analysis of Soil Heavy Metal Pollution under Different Land Use Types in the Yixun River Basin

Land use types profoundly influence the accumulation, speciation, and ecological risk of heavy metals through differences in human activity intensity, pollution input pathways, and soil self-regulation capacity. This study investigated soils of different land use types in Longhua County, downstream of the Yixun River Basin, central Chengde City, Hebei Province. Using the Nemerow Index and Potential Ecological Risk Index, the overall regional pollution was mild (Pn=1.65) with low ecological risk (RI=121.17). Main pollutants were Cd, Pb, Zn, and Hg, with Cd and Hg as primary ecological risk factors. Construction land exhibited moderate pollution and medium risk, with a Nemerow Index of 2.37 and average RI of 190.78, significantly exceeding other land use types. PMF model identified four pollution sources: pedogenic parent material natural source (43.54% contribution) dominating Cr, Cu, Ni, Zn enrichment; metallogenic parent material natural source (19.88%) controlling Cd spatial differentiation; agricultural-transportation mixed source (24.79%) driving As and Pb accumulation; and industrial source (11.93%) causing local Hg enrichment. Natural sources contributed 63.42% of total heavy metals, being the primary contributor. As was generally below background values, not constituting pollution; Pb exceeded standards but posed low ecological risk; industrial Hg enrichment in construction land presented high pollution and ecological risk, requiring priority control.

Read Full Abstract10.7524/j.issn.0254-6108.2025031905
Occurrence Characteristics and Health Risk Assessment of Hexabromocyclododecanes in Soils from a Historical Production Legacy SiteGraphical AbstractVerified
Environmental Chemistry2026

Occurrence Characteristics and Health Risk Assessment of Hexabromocyclododecanes in Soils from a Historical Production Legacy Site

Although the production and use of hexabromocyclododecanes (HBCDs) have been completely banned in China since December 2021, historical production activities may still leave high-concentration residual contamination in localized areas. This study investigated a typical legacy site of historical HBCDs production in eastern China. Surface and core soil samples were systematically collected both inside and outside the former plant area to characterize the occurrence, spatial distribution, and environmental burden of HBCDs, and to evaluate associated human health risks. Results showed that HBCD concentrations in soils outside the plant area ranged from below detection limit to 6.90×10² ng·g⁻¹ dw, while those inside the plant area were substantially higher, reaching up to 1.18×10⁶ ng·g⁻¹ dw. γ-HBCD was the dominant isomer; however, its relative abundance was lower than that reported in commercial HBCD mixtures and in previous studies conducted near production facilities. Outside the plant, HBCDs concentrations in soil generally decreased with increasing distance from the site, yet remained detectable at a distance of approximately 10 km (15.2 ng·g⁻¹ dw). Within the plant area, HBCDs concentrations in soil cores decreased with depth, declining from 1.08×10⁴–1.18×10⁶ ng·g⁻¹ dw in surface soils to 1.05–93.5 ng·g⁻¹ dw at depths of about 4 m. Analysis of the relative cumulative environmental burden indicated that although HBCDs loads were highest in the near-source area, they gradually accumulated over a broader spatial scale. Approximately 23.7%, 40.1%, 60.0%, and 87.1% of the total estimated burden accumulated within 2 km, 2.81 km, 4 km, and 6 km from the site, respectively. Health risk assessment indicated that oral ingestion of soil was the primary exposure pathway for different populations. Localized high-contamination zones within the plant area contributed significantly to non-carcinogenic risks, while overall risks for children outside the plant area were at acceptable levels.

Read Full Abstract10.7524/j.issn.0254-6108.2026020207
Water Quality Prediction and Data Quality Enhancement of the Lhasa River Using Machine LearningGraphical AbstractVerified
Environmental Chemistry2026

Water Quality Prediction and Data Quality Enhancement of the Lhasa River Using Machine Learning

This study develops a multivariate time-series forecasting model for water quality in the Lhasa River, focusing on four key indicators: water temperature, pH, dissolved oxygen, and turbidity. Data preprocessing integrated multiple missing-value imputation strategies and interquartile range (IQR) outlier removal. Boxplots and relative standard deviation (RSD) assessed data distribution and dispersion, while autocorrelation and Pearson correlation analyses revealed periodic patterns and inter-variable relationships. Four representative algorithms—Support Vector Regression (SVR), Extreme Gradient Boosting (XGBoost), CNN-BiLSTM-Attention, and TCN-Transformer—were optimized via Bayesian hyperparameter tuning. Model performance was evaluated using MAE, MSE, RMSE, and R². The study systematically compared the effects of different missing-value handling methods, both independently and combined with IQR outlier removal. Results indicate that CNN-BiLSTM-Attention excels in water temperature prediction, suitable for relatively stable and simple patterns. In contrast, TCN-Transformer demonstrates superior performance for pH, dissolved oxygen, and turbidity, which exhibit strong nonlinearity and long-term dependencies, effectively capturing temporal dependencies and coupling relationships. The findings provide a viable technical route and theoretical reference for river water quality monitoring and intelligent early-warning systems.

Read Full Abstract10.7524/j.issn.0254-6108.2025102801
Research and Application of County-Town Scale Air Pollution Tracing MethodGraphical AbstractVerified
Environmental Chemistry2026

Research and Application of County-Town Scale Air Pollution Tracing Method

This study proposes an integrated source apportionment framework that synergistically integrates pollution source classification, atmospheric dispersion modeling, backward trajectory analysis, weighted trajectory clustering, and forward contribution estimation to accurately target peak reduction at localized air pollution hotspots. Applied at the County-Town Scale in Beijing, this method was employed to investigate pollution episodes at the Tongzhou Dongguan monitoring site. Source classification relied on a pollution fingerprint database and temporal concentration profiles, while local contributions were quantified through combined air quality modeling and monitoring data. Forward and backward trajectory analyses enabled the identification of potential source regions and key contributors. Results indicate that construction dust, road dust, and emissions from the catering industry were the dominant local sources, with construction and road dust contributing most prominently to PM2.5 concentrations. Furthermore, abnormal PM2.5 increases were closely linked to low boundary layer height, weak winds, and high humidity, emphasizing the role of meteorological conditions in pollution accumulation. The proposed framework proves effective in pinpointing local pollution sources and offers a scientific basis for targeted air quality management at finer spatial scales.

Read Full Abstract10.7524/j.issn.0254-6108.2025032004
Variation of PCDD/Fs and Their Monomer Components During Low-Temperature Thermal Decomposition (250–500 °C) of Municipal Solid Waste Incineration Fly AshGraphical AbstractVerified
Environmental Chemistry2026

Variation of PCDD/Fs and Their Monomer Components During Low-Temperature Thermal Decomposition (250–500 °C) of Municipal Solid Waste Incineration Fly Ash

This study investigates the variation of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) and their monomer components during low-temperature thermal decomposition (250–500 °C) of municipal solid waste incineration fly ash from a typical mechanical grate furnace. Results demonstrate that pyrolysis temperature and time significantly affect the solid-phase removal rates of PCDD/F mass concentration and toxic equivalent (TEQ) concentration. The influence weights of temperature on mass and TEQ removal rates are 20.86 and 21.41, respectively, while those of time are 4.27 and 3.36. Response surface analysis identifies optimal conditions at 380 °C for 1.0 h. At 250–300 °C, both PCDFs and PCDDs concentrations increase synchronously, indicating enhanced formation. At 300 °C for 2.0 h, high-chlorinated congeners undergo dechlorination to low-chlorinated ones, notably increasing 2,3,7,8-T4CDD (I-TEF=1.0) and 1,2,3,7,8-P5CDD (I-TEF=0.5). From 350 °C upward, significant degradation occurs; at 380 °C (1.0 h), degradation rates for PCDDs and PCDFs reach 97.8% and 97.6%, respectively, effectively reducing TEQ-contributing congeners. The process proceeds in two stages: initial dechlorination, followed by destruction of dioxin-like compounds at higher temperatures. 2,3,7,8-T4CDD emerges as a critical component for detoxification. These findings provide a scientific basis for optimizing thermal treatment of fly ash to minimize environmental and health risks.

Read Full Abstract10.7524/j.issn.0254-6108.2025032001
Interface Diffusion of PFAS in Paddy Soil under Quinolone Antibiotic Input: A Metagenomics-Based Multi-Community Regulation MechanismGraphical AbstractVerified
Environmental Chemistry2026

Interface Diffusion of PFAS in Paddy Soil under Quinolone Antibiotic Input: A Metagenomics-Based Multi-Community Regulation Mechanism

Per- and polyfluoroalkyl substances (PFAS) are emerging contaminants ubiquitously distributed in paddy soils. In paddy management, surface water irrigation introduces quinolone antibiotics (QNs) into the soil, potentially altering PFAS interfacial migration via microbial community shifts. This study investigated the soil-water partitioning of PFAS under irrigation with four QNs (norfloxacin, ciprofloxacin, enrofloxacin, ofloxacin) using UHPLC-MS/MS and soil metagenomics. Results showed that QNs input, especially norfloxacin, significantly promoted the release of short-chain PFAS (e.g., PFBA) from soil to overlying water, while long-chain PFAS remained largely retained in soil. Metagenomic analysis revealed that archaeal and viral communities contributed most to PFAS release. Spearman correlations indicated ammonia-oxidizing archaea (Nitrososphaera) positively correlated with PFBA, whereas Bcep22virus negatively correlated with multiple PFAS. Differential gene expression and co-occurrence networks suggested QNs suppressed key functional genes in archaea and viruses (nitrogen metabolism, secretion systems, outer membrane proteins), reshaping interfacial partitioning and enhancing short-chain PFAS mobility, thereby increasing food security risks.

Read Full Abstract10.7524/j.issn.0254-6108.2026041402
Impact of Land Use Types on Topsoil Carbon and Nitrogen and Their Spatial Distribution Characteristics in the Karst Area of the Yunnan-Guizhou Plateau: A Case Study of the Sancha River BasinGraphical AbstractVerified
Environmental Chemistry2026

Impact of Land Use Types on Topsoil Carbon and Nitrogen and Their Spatial Distribution Characteristics in the Karst Area of the Yunnan-Guizhou Plateau: A Case Study of the Sancha River Basin

This study investigates the effects of different land use types on topsoil carbon (C) and nitrogen (N) contents and their spatial distribution in the lower reaches of the Sancha River Basin, a karst region of the Yunnan-Guizhou Plateau. Grid sampling collected 0–20 cm topsoil from forestland (n=23), cultivated land (n=25), and grassland (n=32). Total C and N were measured. Results showed that topsoil C content followed grassland (40.36±22.92 g·kg−1) > forestland (37.05±12.83 g·kg−1) > cultivated land (34.06±14.57 g·kg−1), while N content followed forestland (2.89±0.76 g·kg−1) > grassland (2.67±1.19 g·kg−1) > cultivated land (2.50±0.65 g·kg−1). One-way ANOVA revealed no significant differences among land use types (P>0.05). Soil C and N were significantly positively correlated across all land uses (r>0.5, P<0.001). Coefficient of variation (CV) indicated grassland had the highest C variability (0.57), while forestland showed the most stable C and N (CV=0.35 and 0.26, respectively). Cultivated land had CVs of 0.43 for C and 0.26 for N. Spatially, forestland exhibited concentrated high C values with significant N heterogeneity; grassland had higher C in southern and eastern areas but scattered distribution, with generally low and variable N; cultivated land showed uniform but lowest C and N. Land use types significantly drive topsoil C and N dynamics through vegetation input, soil disturbance, and management practices, underscoring the importance of rational land use planning for enhancing carbon sink functions and sustainable development in karst watersheds.

Read Full Abstract10.7524/j.issn.0254-6108.2026022502